IBMDeveloperMEA/Build-your-AI-Chatbot-with-Zero-Coding

In this workshop, we are going to create a customer service Assistant for a bank. We are looking to automate some of the top questions that are reaching our agents via support chat on our site,in this scenario - people trying to transfer money to friends or family.

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IBMDeveloperMEA/automate-model-building-with-autoai

This repo contains the assets used for a workshop in the MEA Developer Summit 2021 where we use IBM's AutoAI service to build a telco churn predictive machine learning model.

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IBMDeveloperMEA/Easily-build-a-custom-language-analysis-model-with-Watson-Knowledge-Studio-NLU

In this tutorial, learn how to use Watson Knowledge Studio to annotate reviews for auto repair facilities. After annotating the reviews, you can then train a machine learning model that can analyze the reviews. The model is able to determine what types of repairs were needed by the vehicle and how satisfied the customer was with the quality of work. By analyzing the reviews associated with a given auto repair shop, you can generate insights about that shop's overall performance to determine what types of repairs they're most (and least) skilled at.

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IBMDeveloperMEA/zero-hunger Fork of Call-for-Code/Solution-Starter-Kit-Hunger-2021

2021 Call for Code Global Challenge solution starter kit: Zero hunger.

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IBMDeveloperMEA/Loan-Bank-Transactions-Cognos-Embedded

This repo contains the materials for a workshop that shows how to gains insights and visualize data for a credit score/loan bank transactions use case.

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IBMDeveloperMEA/YPDL-Build-a-movie-recommendation-engine-with-TensorFlow

In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 2

IBMDeveloperMEA/YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras

Build a recurrent neural network using TensorFlow and Keras.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

IBMDeveloperMEA/YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow Fork of Anam-Mahmood/YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow

Identify Handwritten Digits using CNN with TensorFlow

Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

IBMDeveloperMEA/YPDL-SentimentAnalysis-LR

While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first session of Your Path to Deep Learning.

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IBMDeveloperMEA/Monitor-the-performance-of-your-microservice-application

In this code pattern, we will integrate Instana with a polyglot microservice travel application on OpenShift. Instana is a fully automated Enterprise Observability solution, with infrastructure monitoring and Application Performance Management (APM), designed specifically for the challenges of managing microservice and cloud-native applications. We will generate traffic to the application using Puppeteer and analyze the traffic on the Instana dashboard. The travel application used in this code pattern is a part of the Bee Travels project that focuses on some of the first version services of the application.

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IBMDeveloperMEA/carekit-hyperprotect-lab Fork of fawazsiddiqi/carekit-hyperprotect-lab

CareKit is an open source framework that helps users better understand and manage their health by creating dynamic care plans, tracking symptoms, connecting to care teams, and more. CareKit itself doesn’t include a back end, so it’s up to the developers to include a back end of their choice. This typically means implementing the synchronization API for their cloud provider of choice. IBM was one of the first cloud providers to implement the synchronization API, and consumed the Hyper Protect set of offerings to provide a HIPAA-ready back end.

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IBMDeveloperMEA/Gain-hidden-insights-from-your-data-using-IBM-Watson-Studio Fork of Anam-Mahmood/Gain-hidden-insights-from-your-data-using-IBM-Watson-Studio

This repo demonstrates features within IBM® Watson™ Studio that help you visualize and gain insights into your data, then cleanse and transform your data to build high-quality predictive models.

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IBMDeveloperMEA/Create-a-Customer-Service-Chatbot-using-the-New-Watson-Assistant-No-Code- Fork of Anam-Mahmood/Create-a-Customer-Service-Chatbot-using-the-New-Watson-Assistant-No-Code-

In this workshop, you can use the tools provided by the Assistant service with skills that will directly help your customers. We will walk you through the process of creating your first Assistant-powered chatbot through its intuitive interface.

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IBMDeveloperMEA/YourPathToDeepLearning

Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.

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IBMDeveloperMEA/EMEA-Regional-Deploy-your-AI-models-using-Serverless-Containers

This tutorial explains how to use the IBM Cloud Code Engine managed serverless platform system to deploy the Model Asset Exchange (MAX).

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IBMDeveloperMEA/Connect-a-secure-Cloudant-database-instance-to-your-web-application

In this workshop you will learn how to connect your IBM Cloudant instance with your application.

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IBMDeveloperMEA/Journeytocloud

In this series you will learn how to get started with IBM Cloud platform, deploying your application on IBM Cloud, how to connect database to your application and securely monitor it. You will also learn how to create predictive models to enhance user experience of your application. 

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IBMDeveloperMEA/AI-Ethics Fork of asnajaved/Identify-and-remove-bias-from-AI-models-using-Watson-Studio

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine learning model, fairness gives us a way to understand the practical implications of deploying the model in a real-world situation.

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IBMDeveloperMEA/Your-Guide-To-Your-First-Contribution

A repository for you to get started with Open Source development, this would be a 1st step in contributing, start simple and then start growing!

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IBMDeveloperMEA/Create-your-first-Smart-Virtual-Assistant-on-IBM-Cloud

In this workshop, we are going to create a customer service Assistant for a bank. We are looking to automate some of the top questions that are reaching our agents via support chat on our site in this scenario - people trying to transfer money to friends or family.

Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

IBMDeveloperMEA/Trusted-AI-Build-Explainable-ML-Models-using-AIX360

Imagine boarding the Titanic in 2021, and you have provided all your details as a passenger to the captain. There is are three people involved, the data scientist, captain and the passenger. Imagine the company who has built Titanic has created a machine ML model to predict the rate of survival of the passengers, in case of a disaster. The job of the data scientist is to make a model that is explainable to the passengers who are not technical, and that they get the answer about the reasons why they may not survive.

Language: Jupyter Notebook - Size: 8.26 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

IBMDeveloperMEA/Stirling-University-x-IBM-Data-Science-Lifecycle

In this workshop we will talk about the Data Science Lifecycle and what all data scientists do in their day-to-day jobs. We will be also showing you some tools to get started with your journey in the world of data science.

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IBMDeveloperMEA/Rapid-Machine-Learning-Development-using-Low-Code-Applications

AutoAI is a tool that automates machine learning tasks to ease the tasks of data scientists. It automatically prepares your data for modeling, chooses the best algorithm for your problem, and creates pipelines for the trained models, and it can be run in public clouds and in private clouds, including IBM Cloud Pak for Data. In this workshop we will be focusing on Customer Churn using AutoAI

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IBMDeveloperMEA/DeveloperFestival21

Resources for you from our three-day, virtual conference.

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IBMDeveloperMEA/Build-cloud-native-event-stream-apps-with-Open-Liberty-and-Quarkus

Kafka provides a framework for analyzing streaming data, which is highly scalable and offers high performance. Kafka is a distributed system, which reduces downtime and also allows it to handle high-velocity and high-volume data. The reactive programming paradigm is a key skill for Apache Kafka-centric applications.

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IBMDeveloperMEA/AI-Integrity-Improving-AI-models-with-Cortex-Certifai

Explainability of AI models is a difficult task which is made simpler by Cortex Certifai. It evaluates AI models for robustness, fairness, and explainability, and allows users to compare different models or model versions for these qualities. Certifai can be applied to any black-box model including machine learning models, predictive models and works with a variety of input datasets.

Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

IBMDeveloperMEA/Integrating-Watson-Assistant-with-Whatsapp Fork of mridulrb/Integrating-Watson-Assistant-with-Whatsapp

Chatbots are everywhere these days, and most businesses aim to use them to increase productivity and provide a better customer experience. In this tutorial, we will demonstrate how to extend a Watson Assistant chatbot's capabilities by connecting it to WhatsApp using Twilio. We will be using Twilio's sandbox to show how this integration works.

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IBMDeveloperMEA/Build-your-Machine-Learning-Models-Efficiently-with-SPSS

In this tutorial, we will use IBM Cloud Pak for Data to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will default on a loan. IBM Cloud Pak for Data is an interactive, collaborative, cloud-based environment that allows developers and data scientists to work collaboratively, gain insight from data and build machine learning models.

Size: 8.42 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

IBMDeveloperMEA/code-engine-microservices Fork of IBM/code-engine-microservices

Deploy a Microservices App to IBM Cloud Code Engine

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IBMDeveloperMEA/Modernize-ML-Workflow-Integrate-a-Chatbot-Deploy-to-Whatsapp

Now a days businesses also use chatbots to increase productivity and provide a better customer experience. This demo aims to automate the banking experience for customers regarding loan applications using Watson Studio machine learning, Cloud function, and then extend the Watson Assistant chatbot’s capabilities by connecting it to WhatsApp using Twilio. We will be using Twilio’s sandbox to show how this integration works.

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IBMDeveloperMEA/python-ubi-openshift Fork of IBM/python-ubi-openshift

This code pattern is part of the Bee Travels project that focuses on deploying a python currency exchange application to Openshift 4 using Redhat's Universal Base Image(UBI)

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IBMDeveloperMEA/oc-scale-update Fork of nerdingitout/oc-scale-update

This tutorial shows you how to deploy, scale, update and rollback your application on Red Hat OpenShift. All of these features are essential to make sure that the developer can deliver their software safely in case of adding new features, updating images, fixing bugs or rolling back an update.

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IBMDeveloperMEA/Artelligence2021 Fork of Anam-Mahmood/Unlock-the-Power-of-Machine-Learning-in-Virtual-Assistants-to-automate-Loan-Applications

Within a bank’s loan department, a customer’s application undergoes a lot of scrutiny before a decision of approval or rejection is made. The evaluation process can take a while, which opens the possibility of the bank losing a potential customer. To reduce the decision-making time and to increase the accuracy of the decisions being made, we can now use machine learning solutions. This allows customer representative to make predictions about a loan application quickly.

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IBMDeveloperMEA/Securely-Manage-access-to-your-Applications-Sensitive-Data-on-IBM-Cloud Fork of ibm-cloud-security/appid-sample-code-snippets

In this workshop we will walk you through how you can grant access to specific resources by defining runtime actions and assigning role-based permissions to your users using App ID. You will also learn how the sample application validates users' scopes to provide a different experience according to their role.

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IBMDeveloperMEA/JourneyToLowCode-NoCodeApplicationSecurity

This series will focus on how to easily add authentication to web apps with zero code changes and no redeploy, how to secure a Spring boot Application and lastly how to Ensure that the correct people have the approved access to sensitive data of an application.

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IBMDeveloperMEA/Speed-up-your-Data-Cleansing-with-Data-Refinery

We're going to take a quick tour of the Data Refinery tool. Data Refinery can quickly filter and mutate data, create quick visualizations, and do other data cleansing tasks from an easy to use user interface.

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IBMDeveloperMEA/Data-Science-Lifecycle-Collect-Clean-Predict-Analyze-your-Data

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes and predict our customer chrun.

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IBMDeveloperMEA/oc-devops

Let's talk about Tekton pipelines!

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IBMDeveloperMEA/Easily-Secure-your-Spring-boot-app-with-Low-code-No-Code Fork of IBM/appid-spring-boot-example

Sample application to demonstrate the usage of App ID Spring Boot Starter

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IBMDeveloperMEA/TADHackZA_2021

IBM Developer Resources for TADHackZA 2021 virtual event from 24 to 26 September 2021 "Emerging from the Pandemic - Collaboration and Monetisation towards the 41R".

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IBMDeveloperMEA/Secure-your-single-page-web-app-with-low-code-on-IBM-Cloud

In this Workshop, you’ll learn how with App ID, you can easily protect your Node.js front-end web applications. we will have a simple authentication flow up and running in less than 20 minutes. we will learn how to customise our login page and add several features of App ID.

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IBMDeveloperMEA/Logistic-regression-using-TensorFlow

In this tutorial, learn how to create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow (tf.keras) to implement it. The Notebook runs on IBM Cloud Pak® for Data as a Service on IBM Cloud®. The IBM Cloud Pak for Data platform provides additional support, such as integration with multiple data sources, built-in analytics, Jupyter Notebooks, and machine learning. It also offers scalability by distributing processes across multiple computing resources. You can choose to create assets in Python, Scala, and R, and use open source frameworks (such as TensorFlow) that are already installed on the IBM Cloud Pak for Data as a Service platform.

Language: Jupyter Notebook - Size: 284 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

IBMDeveloperMEA/A-Currency-Conversion-App

Let's deploy a currency conversion app using Red Hat OpenShift!

Language: Python - Size: 5.25 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 2

IBMDeveloperMEA/MEA-Regional-Event-Data-AI

These are all the resources for the MEA Regional Event - Data Science & AI for Everyone (https://www.crowdcast.io/e/ddc-mea2021/1) that was a part of the Digital Developer Conference: Data & AI (https://ibm.biz/devcon-ai)

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IBMDeveloperMEA/Explore-build-simple-node-js-python-using-cloud-functions

This repo contains the content on how to build basic serverless Node.js and Python apps with Cloud Functions. This is an introductory workshop to get started with the Cloud Functions platform.

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IBMDeveloperMEA/Recurrent-Neural-Networks-using-TensorFlow-Keras Fork of mridulrb/Recurrent-Neural-Networks-using-TensorFlow-Keras

Build a recurrent neural network using TensorFlow and Keras.

Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

IBMDeveloperMEA/Quick-and-Easy-PredictiveML

In this tutorial, we will use Watson Studio to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will default on a loan. IBM Cloud Pak® for Data is an interactive, collaborative, cloud-based environment that allows developers and data scientists to work collaboratively, gain insight from data and build machine learning models.

Size: 12.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

IBMDeveloperMEA/watson-assistant-with-search-skill Fork of Anam-Mahmood/watson-assistant-with-search-skill

Build a Node.js chatbot that uses Watson Assistant search skill to query an owner's manual

Language: JavaScript - Size: 7.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

IBMDeveloperMEA/explore-operators Fork of IBM/ibm-dte-openlab-samples

Repository for IBM DTE OpenLabs samples

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IBMDeveloperMEA/Going-Serverless-in-Watson-Assistant Fork of kif01/Going-Serverless-in-Watson-Assistant

This repo contains assets for a webinar that shows how to build a Watson Assistant chatbot integrated with IBM Cloud Functions

Language: Python - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 2

IBMDeveloperMEA/watson-discovery-ui Fork of Anam-Mahmood/watson-discovery-ui

Develop a fully featured Node.js web app built on the Watson Discovery Service

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IBMDeveloperMEA/Solution-Starter-Kit-Energy-2020 Fork of Anam-Mahmood/Solution-Starter-Kit-Energy-2020

Materials for the Call for Code 2020 solution starter kit for energy sustainability in the context of climate change.

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IBMDeveloperMEA/go-serverless-in-watson-assistant-with-ibm-cloud-function

This repo contains the assets used for a workshop where we use IBM Watson Assistant, IBM Cloud Functions and IM Object Storage to build a serverless chatbot.

Language: Python - Size: 2.11 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 2

IBMDeveloperMEA/Build-and-Compare-your-Machine-Learning-Models-the-Easy-Way-with-IBM-SPSS-Modeler Fork of kif01/Build-and-Compare-your-Machine-Learning-Models-the-Easy-Way-with-IBM-SPSS-Modeler

This repo containst the assets used for a workshop we use IBM SPSS Modeler to build a credit risk predictive machine learning model that help in deciding whether a bank should accept a customer's loan application or reject it.

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IBMDeveloperMEA/Solution-Starter-Kit-Communication-2020 Fork of Anam-Mahmood/Solution-Starter-Kit-Communication-2020

Materials for the Call for Code 2020 solution starter kit for crisis communication in the context of COVID-19.

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IBMDeveloperMEA/watson-discovery-sdu-with-assistant Fork of Anam-Mahmood/watson-discovery-sdu-with-assistant

Build a Node.js chatbot that uses Watson services and webhooks to query an owner's manual

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IBMDeveloperMEA/watson-studio-learning-path-assets Fork of Anam-Mahmood/watson-studio-learning-path-assets

repo to store all assets (such as notebooks, data, etc) for Watson Studio Learning Path tutorials

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IBMDeveloperMEA/online_order_processing_during_pandemics Fork of Anam-Mahmood/online_order_processing_during_pandemics

Use Watson Assistant to automate online order processing during pandemics

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IBMDeveloperMEA/Fraud-Loan-Predictions-using-Automated-Machine-Learning Fork of kif01/Fraud-Loan-Predictions-using-Automated-Machine-Learning

This repo contains the assets used for a workshop where we use IBM's AutoAI service to build a credit risk predictive machine learning model that help in deciding whether a bank should accept a customer's loan application or reject it.

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 6

IBMDeveloperMEA/CICD-in-kubernetes-service-with-integration-of-Slack-platform Fork of fawazsiddiqi/CICD-in-kubernetes-service-with-integration-of-Slack-platform

As enterprises move workloads to the cloud, transparency and visibility across development and operations (DevOps) teams are really important. The real power of the Slack messaging platform is to help teams collaborate and coordinate their work no matter where they are located, in the field office, at home, or anywhere around the globe. This tutorial shows you how to set up a toolchain of IBM Cloud services that uses a continuous integration and continuous delivery (CI/CD) stack to maintain and deploy applications running on a Kubernetes cluster. Then, it shows how you can enhance the collaboration experience within your DevOps team by integrating the toolchain with the Slack platform so your Slack channel receives notifications about deployment activities.

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IBMDeveloperMEA/Enhance-COVID-Communication Fork of fawazsiddiqi/EnhanceComm

In times of crisis, chatbots can help people quickly find answers they need to critical questions. In the case of a pandemic like COVID-19, people might be trying to find basic information about testing, symptoms, community response, and other resources.

Language: JavaScript - Size: 13.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

IBMDeveloperMEA/CreditRisk-AISummit Fork of fawazsiddiqi/CreditRisk-AISummit

Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address challenges in areas of healthcare, technology & other areas. At the same time, these technologies will transform the nature of work and the workplace itself. In this code pattern, we will focus on building state of the art systems for churning out predictions which can be used in different scenarios.

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IBMDeveloperMEA/WatsonTwilio Fork of fawazsiddiqi/WatsonTwilio

Use Watson Assistant for Voice Interaction to converse with callers in real time as an AI assistant. Step through the details of creating an AI agent which integrates with the telephone network by using the Session Initiation Protocol (SIP) and using IBM Voice Agent with Watson.

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IBMDeveloperMEA/DataLifecycle Fork of fawazsiddiqi/DataLifecycle

Lets collect, clean, predict and deploy your data science pipeline on IBM Cloud. As we all know a data science pipeline consists of various steps, which certainly starts with collecting your data from different data sources, then we come to understanding the data making sure that we are able to get meaning out of it and we clean it by managing missing values and normalizing it and then we train and deploy our machine learning model which is followed by getting feedback from the models result and re-evaluating it.

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IBMDeveloperMEA/VideoInsights Fork of fawazsiddiqi/VideoInsights

This Code Pattern is part of the series Extracting Textual Insights from Videos with IBM Watson. Please complete the Extract audio from video, Build custom Speech to Text model with speaker diarization capabilities and Use advanced NLP and tone analysis to extract meaningful insights code patterns of the series before continuing further since all the code patterns are linked.

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IBMDeveloperMEA/predict-insurance-charges-with-autoai Fork of fawazsiddiqi/predict-insurance-charges-with-autoai

Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.

Size: 23 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

IBMDeveloperMEA/oc-route Fork of nerdingitout/oc-route

Language: Dockerfile - Size: 65.4 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 2

IBMDeveloperMEA/serverless-sentiment Fork of nerdingitout/serverless-sentiment

This tutorial demonstrates how to work with OpenShift Serverless

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IBMDeveloperMEA/Introduction-to-Big-Data-analysis-Machine-Learning-in-Python-with-PySpark Fork of Anam-Mahmood/Introduction-to-Big-Data-analysis-Machine-Learning-in-Python-with-PySpark

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IBMDeveloperMEA/CFC-Water-Ridgewood Fork of fawazsiddiqi/CFC-Water-Ridgewood

The example Node-RED flows and dashboards can help you build a water quality dashboard using GeoJSON. After completing this tutorial, you will be ready to modify these example flows and dashboards to create your own map and data visualization solution.

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IBMDeveloperMEA/Cross-Sell-in-Banking Fork of mridulrb/Cross-Sell-in-Banking

This is a CP4D demo asset that focuses on Up/Cross sells in the Banking industry focusing on targeting customer for the right products. In other words it predicts which customers are more likely to buy a specific product. This allows banking sector employees to determine what services their customers would be interested in.

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IBMDeveloperMEA/Visualising-Data-to-Generate-Interactive-Charts-Graphs-to-Discover-Insights Fork of mridulrb/Visualising-Data-to-Generate-Interactive-Charts-Graphs-to-Discover-Insights

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IBMDeveloperMEA/WatsonAssistantOCP Fork of fawazsiddiqi/WatsonAssistantOCP

A Chatbot for ordering a pizza that demonstrates how using the IBM Watson Assistant Slots feature, one can fill out an order, form, or profile.

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